闽江下游突发性水污染事故时空模拟

以闽江下游为例,基于有限元法建立闽江下游水动力模型及水质模型,通过对模型进行率定和验证,表明该模型具有较理想的模拟效果.在此基础上,利用闽江下游2004年的水文情况,模拟了突发性水污染事故中污染物的运移扩散过程.定量模拟了突发性水污染事故发生后,闽江下游不同地点处污染物到达的时间和浓度值,并对突发风险事故的影响范围、程...     

基于STIRPAT模型的能源消费碳足迹变化及影响因素——以江苏省苏锡常地区为例

定量研究经济社会发展对地区能源消费碳足迹的影响对区域实现低碳发展具有重要意义。论文计算了江苏省苏锡常地区1991-2008年能源消费碳足迹,采用岭回归函数对STIRPAT模型进行了拟合,采用脱钩指数分析了经济发展与能源消费碳足迹之间的关系。结果表明:①1991-2008年能源消费碳足迹平均增长速度为15.30%,能源消费碳足迹分配率以煤炭为主,石油所占比例呈波动下降趋势,天然气所占比例上升较快,能源消费碳足迹产值总体呈波动下降趋势;②经济增长是能源消费碳足迹的主要影响因素,两者关系模型拟合未出现环境库兹涅茨曲线;③经济增长与能源消费碳足迹之间处于相对脱钩与复钩的波动状态,从另一侧面验证了目前两者之间不存在库兹涅茨曲线假说的结论。     

河流水污染损失补偿模型研究

我国水污染问题的突出表现之一是省际间、地区间水污染纠纷接连不断, 严重影响经济发展和社会稳定。在流域不同主体之间建立水污染补偿机制,可以把水污染造成的环境外部损失内部化,从而促使污染者在治污成本和经济补偿之间进行权衡,促进水污染治理措施的有效执行和水污染纠纷的解决。在水污染经济损失评估的基础上,以河流为研究对象,采用水环境数学模型的方法描述了污染物排放的空间影响关系,进而把超量排放的环境影响与经济影响联系起来,对模型的基本特征、处理方法和应用范围进行了讨论,并且以太湖流域范围内的京杭运河为例进行实证研究,得到了河流水污染损失补偿的数学模型。     

Nitrogen cycle of a typical Suaeda salsa marsh ecosystem in the Yellow River estuary

The nitrogen (N) biological cycle of the Suaeda salsa marsh ecosystem in the Yellow River estuary was studied during 2008 to 2009. Results showed that soil N had significant seasonal fluctuations and vertical distribution. The N/P ratio (15.73±1.77) of S. salsa was less than 16, indicating that plant growth was limited by both N and P. The N absorption coefficient of S. salsa was very low (0.007), while the N utilization and cycle coefficients were high (0.824 and 0.331, respectively). The N turnover among compartments of S. salsa marsh showed that N uptake from aboveground parts and roots were 2.539 and 0.622 g/m2, respectively. The N translocation from aboveground parts to roots and from roots to soil were 2.042 and 0.076 g/m2, respectively. The N translocation from aboveground living bodies to litter was 0.497 g/m2, the annual N return from litter to soil was far less than 0.368 g/m2, and the net N mineralization in topsoil during the growing season was 0.033 g/m2. N was an important limiting factor in S. salsa marsh, and the ecosystem was classified as unstable and vulnerable. S. salsa was seemingly well adapted to the low-nutrient status and vulnerable habitat, and the nutrient enrichment due to N import from the Yellow River estuary would be a potential threat to the S. salsa marsh. Excessive nutrient loading might favor invasive species and induce severe long-term degradation of the ecosystem if human intervention measures were not taken. The N quantitative relationships determined in our study might provide a scientific basis for the establishment of effective measures.     

开放源类物料中微粒子排放估算模型的建立

利用实验室微粒子控制模拟试验装置,采用开放源类粉体物料自由下落溢出随机粉尘的实验研究方法,研究了济南市开放源类粉体物料自由下落过程中微粒子排放规律;在一定动力因素条件下,探讨了物料种类、粒度组成,物料含水率,环境空气湿度,自由下落中质量流量等因素对物料排放率的影响;通过数学归纳和模型化处理,建立了开放源类粉体物料自由下落过程中大气微粒子排放估算的数学模型;通过对实验数据进行回归分析后认为,粒径、含水率是对排放率影响最大的因素,质量流量是对排放率影响最小的因素。经试验验证,计算值与试验值基本一致。所获结论,对开放源类物料在转运、装卸、堆放等操作过程中大气微粒子的排放估算和综合防治具有重要的参考价值。     

Fenton氧化在废水处理中的应用

综述了近年来Fenton氧化在废水处理领域的应用状况,对Fenton试剂氧化的机理和主要影响因素:温度、pH、反应时间、H2O2和Fe2+的投加量、H2O2/Fe2+量比以及反应动力学模型进行了简要介绍.最后探讨了Fenton氧化技术在废水处理领域现存不足之处及今后的发展趋势.     

环境管理过程中对锅炉型号的识别

通过对锅炉型号的简要介绍,提高对锅炉的认识,增强在污染源动态更新调查表的填报过程中锅炉技术指标的填报能力是十分必要的。     

FRP加固震损RC柱建模方法及骨架模型研究

为研究震损RC柱采用FRP(Fiber Reinforced Polymer,FRP)加固修复后的抗震性能,本文基于OpenSees仿真平台,根据震后RC柱的表观损伤状态提出FRP加固震损RC柱的有限元模型建立方法。对FRP加固震损RC柱进行5120种工况的Pushover分析,采用三折线荷载-位移骨架曲线,研究损伤状态对骨架曲线特征点参数的影响规律,并通过数据回归分析提出FRP加固震损RC柱的骨架曲线计算模型。分析结果表明:损伤会降低FRP加固RC柱的承载力及刚度,且降低程度随损伤指数的增大而增加,两者近似成抛物线关系;在DS-5损伤状态下,相比于FRP加固完好RC柱,FRP加固震损RC柱的屈服承载力P y、峰值承载力P c、弹性刚度K 1、弹塑性刚度K 2及下降段刚度K 3的均值下降17.9%、14.5%、41.8%、43.1%和19.9%;损伤对FRP加固RC柱弹性刚度和弹塑性刚度的降低程度明显高于屈服承载力和峰值承载力;文中提出的FRP加固震损RC柱骨架曲线计算模型具有较高精度。     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

AERMOD与估算模式在环境影响评价中的应用与比较

采用AERMOD和估算模式两种预测模式对同一生活垃圾填埋场进行了预测。比较两种预测结果可以看出,在污染源、预测范围、运行周期相同的情况下,敏感点处的落地浓度均与排放源强呈正比,与距离呈反比。预测结果同时说明,估算模式是一种保守的预测模式,其预测结果比AERMOD模式大,可作为进一步预测模式的有效补充。